Agent skill

Video Recap Workflows

by wwwzhouhui in wwwzhouhui/skills_collection

Consolidated narrated recap workflows for movie commentary, football/soccer match recaps, League of Legends esports recaps, and basketball/NBA/CBA full-game recaps.

No licenceAuto-check passed

Install Video Recap Workflows

skills CLI
$ npx skills add wwwzhouhui/skills_collection --skill video-recap-workflows -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install wwwzhouhui/skills_collection video-recap-workflows --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/wwwzhouhui/skills_collection.git skills-src && mkdir -p .claude/skills && cp -r skills-src/video-agent-kit/skills/video-recap-workflows .claude/skills/video-recap-workflows && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
video-recap-workflows
GitHub stars
283
Token cost
~869 tokens
SKILL.md length
320 words
Files
8 (incl. references)
Skills in repo
25
Repo updated
First seen
Licence
None found

At a glance

Consolidated narrated recap workflows for movie commentary, football/soccer match recaps, League of Legends esports recaps, and basketball/NBA/CBA full-game recaps.

  • Video-edit-agent routes a full film
  • SKILL.md covers Route Modes, Boundaries, Shared Tool Families and References
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Broadcast into mode=movie-recap

What it does

Video Recap Workflows is an agent skill from wwwzhouhui/skills_collection. Consolidated narrated recap workflows for movie commentary, football/soccer match recaps, League of Legends esports recaps, and basketball/NBA/CBA full-game recaps. Use when video-edit-agent routes a full film, match, game replay, or broadcast into mode=movie-recap, mode=soccer-recap, mode=lol-recap, or mode=basketball-recap for Chinese narrated highlight/recap editing with deterministic recap MCP tools.

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/lol-style-card.md`, `references/soccer-style-card.md` and `workflows/basketball-recap.md`).

The repository describes itself as: 本项目是个人开发的 Claude Code Skills 集合,提供实用的技能工具,助力提升开发效率和内容创作。 分享一些好用的 Claude Code Skills,自用、学习两相宜,适用于 Claude Code v2.0 及以上版本。

When your agent uses it

  • Video-edit-agent routes a full film
  • Broadcast into mode=movie-recap
  • Mode=soccer-recap
  • Mode=basketball-recap for Chinese narrated highlight/recap editing with deterministic recap MCP tools

Example prompts

  • “/video-recap-workflows”

What it can do on your machine

Read from SKILL.md and the folder at commit b98f166. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Video Recap Workflows loads about 869 tokens when it runs, and up to ~137k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 320 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~869
With references · SKILL.md plus every file in references/, read only if the agent opens them
~137k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 320 words (~869 tokens).

“This skill contains specialized single-title recap workflows that sit beside video-edit-assembly and video-speech-workflows.”

— opening of SKILL.md by wwwzhouhui
name
video-recap-workflows

Read the full SKILL.md on GitHub

Files

SKILL.md and 7 other files (references) in video-agent-kit/skills/video-recap-workflows of wwwzhouhui/skills_collection.

  • SKILL.md
  • references/jieshuo_corpus.jsonl
  • references/lol-style-card.md
  • references/soccer-style-card.md
  • workflows/basketball-recap.md
  • workflows/lol-recap.md
  • workflows/movie-recap.md
  • workflows/soccer-recap.md

Open the folder on GitHubat commit b98f166

Compare with similar skills

Video Recap Workflows next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Video Recap Workflows compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Video Recap Workflows this skillwwwzhouhui/skills_collection283—~869Automated safety check: PassNone
Recapdavepoon/buildwithclaude3.6k—~550Automated safety check: PassMIT
Team NarrativeDonchitos/Claude-Code-Game-Studios26k—~4.5kAutomated safety check: PassMIT
Session Recaprohitg00/agentmemory29k—~510Automated safety check: PassApache-2.0
Narrator AI CLINarratorAI-Studio/narrator-ai-cli-skill3k—~4.5kAutomated safety check: PassMIT
College Football Data AutomationComposioHQ/awesome-claude-skills77k3 repos~783Automated safety check: PassNone

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Questions about Video Recap Workflows

What does Video Recap Workflows do?

Consolidated narrated recap workflows for movie commentary, football/soccer match recaps, League of Legends esports recaps, and basketball/NBA/CBA full-game recaps. Video Recap Workflows is an agent skill from wwwzhouhui/skills_collection. Consolidated narrated recap workflows for movie commentary, football/soccer match recaps, League of Legends esports recaps, and basketball/NBA/CBA full-game recaps.

When should I use Video Recap Workflows?

Video Recap Workflows fits situations like: video-edit-agent routes a full film; broadcast into mode=movie-recap; mode=soccer-recap; mode=basketball-recap for Chinese narrated highlight/recap editing with deterministic recap MCP tools.

How do I install Video Recap Workflows in Claude Code?

Run `npx skills add wwwzhouhui/skills_collection --skill video-recap-workflows -a claude-code`. Or copy the skill folder (video-agent-kit/skills/video-recap-workflows in wwwzhouhui/skills_collection) into .claude/skills/video-recap-workflows in your project. Claude Code loads it when a task matches its description.

How do I install Video Recap Workflows in Codex?

Run `npx skills add wwwzhouhui/skills_collection --skill video-recap-workflows -a codex`. Or copy the skill folder (video-agent-kit/skills/video-recap-workflows in wwwzhouhui/skills_collection) into .agents/skills/video-recap-workflows in your project. Codex loads it when a task matches its description.

Can I use Video Recap Workflows in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wwwzhouhui/skills_collection --skill video-recap-workflows -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-recap-workflows, .gemini/skills/video-recap-workflows, .github/skills/video-recap-workflows and .opencode/skills/video-recap-workflows in your project.

What does Video Recap Workflows need to run?

SKILL.md names no scripts, command-line tools or credentials: Video Recap Workflows is instructions for the agent only.

Does Video Recap Workflows access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Video Recap Workflows safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Video Recap Workflows use?

No licence was found for Video Recap Workflows or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Video Recap Workflows use?

About 869 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 136k tokens, read only when the agent opens those files.

What are the alternatives to Video Recap Workflows?

Skills that share tags, products or a category with Video Recap Workflows: Recap (davepoon/buildwithclaude, 3.6k stars), Team Narrative (Donchitos/Claude-Code-Game-Studios, 26k stars), Session Recap (rohitg00/agentmemory, 29k stars) and Narrator AI CLI (NarratorAI-Studio/narrator-ai-cli-skill, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Video Recap Workflows?

wwwzhouhui (a GitHub user) maintains it in wwwzhouhui/skills_collection, which has 283 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 6, 2026.

Source: wwwzhouhui/skills_collection on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.